Multilingual Ontology Mapping: Challenges and a Proposed Framework
Citation:Fu B., Brennan R., O'Sullivan D. 'Multilingual Ontology Mapping: Challenges and a Proposed Framework, Workshop on Matching and Meaning - Automated Development, Evolution and Interpretation of Ontologies' in Proceedings of the 23rd Convention of the Society for the Study of Artifitial Intelligence and Simulatoion of Behaviour - Adaptive & Emergent Behaviour & Complex Systems, Edinburgh, UK, 6th - 9th April, 2009, pp 32 - 35
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A key problem in supporting multilingual information retrieval and digital content management is reasoning about overlapping context domains. Ontologies are currently emerging as representation techniques for overlapping complimentary context domains. To date, research has focused on the mappings of monolingual ontologies, however, the issue of mapping ontologies written in different natural languages is relatively unexplored at the moment. This paper discusses challenges in the area of multilingual ontology mapping and proposes the semantic oriented mapping for multilingual ontologies (SOMMO) framework to advance the state of the art in multilingual ontology mapping. The SOMMO framework aims to improve multilingual ontology mapping results generated from existing monolingual ontology matching techniques by evaluating the semantics embedded in both the source and target ontologies.
Science Foundation Ireland
Publisher:The Society for the Study of Artificial Intelligence and the Simulation of Behaviour
Type of material:Poster
Availability:Full text available